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Bloomreach

SaaS platform for personalized online experiences

Senior Data Scientist - Personalization & Predictions

Full-TimeUpdated on 10/15/2026
€50.3k - €62.9k
Senior
Bachelor's
Bratislava, Slovakia+2 moreMore locations: Brno, Czechia | Prague, Czechia
RemoteRemote work is available within Central and Eastern Europe.
AI & Machine LearningApplied Machine Learning

About the job

Requirements
  • At least 5 years of experience building machine-learning models that shipped and were used by others in industry, not only in research or coursework.
  • Strong Python skills and strong SQL skills, including the ability to navigate a data warehouse independently.
  • A solid grounding in classical machine learning, including tree-based models, regression, classification, and clustering, and the judgment to select simpler models when appropriate.
  • Strong experiment design and evaluation skills, including understanding why a metric changed and whether the change has the assumed cause.
  • Comfort working on a cloud data platform; the team uses Google Cloud Platform (BigQuery) and Databricks, though the principles are transferable.
  • A quantitative degree or equivalent practical depth.
  • Working English, written and spoken.
  • Real depth in at least one of causal inference and uplift modelling; contextual bandits, sequential decision-making, or off-policy evaluation; ranking, recommendation, or information retrieval; or large language model evaluation or applied work with generative AI.
Responsibilities
  • Frame vague business questions as measurable problems before modelling.
  • Analyze behavioural data, product catalogues, and event streams across BigQuery and Databricks to find features with predictive signal.
  • Build and evaluate models for Predictions and Contextual Personalization, including propensity and churn, contextual bandits, autosegmentation, uplift, and incrementality.
  • Design offline metrics, backtests, and A/B tests to evaluate models and determine whether they should ship.
  • Review relevant literature, run proofs of concept, and assess whether methods produce genuine results.
  • Prepare model and evidence handoffs to ML Engineering through documentation and discussion.
  • Explain results to Product, Engineering leadership, and customers where appropriate.
Desired Qualifications
  • Daily use of agentic coding tools and an informed view of their benefits and limitations.

About the company

Bloomreach is a Software-as-a-Service company that helps businesses improve their online presence by personalizing digital experiences for customers. It primarily serves the e-commerce and digital marketing space with the Bloomreach Experience Manager, a platform for creating, managing, and optimizing digital content. The system uses smart, continuously learning algorithms to understand how customers search and what they want, enabling automatic content generation and page personalization that aligns with user intent and supports higher search rankings. Compared with others, Bloomreach combines content management, search optimization, and personalization on a single SaaS platform, focusing on understanding customer language and intent at scale. Its goal is to help retailers, travel, finance, and other industries deliver relevant experiences that boost engagement, conversions, and SEO performance.

Company Size

1,001-5,000

Company Stage

Debt Financing

Total Funding

$452M

Headquarters

Mountain View, California

Founded

2009

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Simplify's Take

What believers are saying

  • Bloomreach surpassed $260 million ARR in February 2026, with positive free cash flow.
  • The June and August 2026 Loomi releases add multi-step reasoning, analytics, and service workflows.
  • Bloomreach won 2026 Inc. 5000 recognition and TrustRadius awards, strengthening enterprise credibility.

What critics are saying

  • Shopify, OpenAI, and Databricks control key distribution channels for Bloomreach’s newest products.
  • Adobe, Salesforce, and Shopify bundle adjacent capabilities, pressuring pricing and renewal rates.
  • If Loomi’s AI answers disappoint, merchants abandon it and Bloomreach’s platform expansion stalls.

What makes Bloomreach unique

  • Bloomreach unifies search, marketing, and conversational shopping through Loomi’s agentic platform.
  • August 5, 2026 Ask Me Anything routes keyword search, Q&A, and service in one window.
  • Databricks CustomerLake and OpenAI Marketplace integrations extend Bloomreach across commerce data and discovery.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Flexible Work Hours

Remote Work Options

Paid Holidays

Professional Development Budget

Wellness Program

Mental Health Support

Stock Options

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Bloomreach
Oct 5th, 2026
Bloomreach Recognized in the 2026 Gartner(R) Magic Quadrant(TM) for Multichannel Marketing Hubs and is Among the Three Highest Scoring Vendors in Every Use Case in the 2026 Gartner Critical Capabil...

Bloomreach Recognized in the 2026 Gartner(R) Magic Quadrant(TM) for Multichannel Marketing Hubs and is Among the Three Highest Scoring Vendors in Every Use Case in the 2026 Gartner Critical Capabilities for Multichannel Marketing Hubs

Enterprise Times
Sep 29th, 2026
MACH Amsterdam keynote calls for open foundations as AI agents enter commerce.

MACH Amsterdam keynote calls for open foundations as AI agents enter commerce. September 29, 2026 Tjeerd Brenninkmeijer, Executive VP, EMEA at Bloomreach, Dana Lawson, CTO at Netlify and Jason Cottrell, President at MACH Alliance opened MACH X event in Amsterdam with a shared challenge for businesses. Prepare for AI agents to become active participants in digital systems while keeping technology adaptable, connected and under human control. The keynote set agentic commerce in a broader context of changing platforms, workflows and customer relationships. Lawson, CTO at Fire, described a shift in which AI agents are no longer merely tools used by people, but may increasingly act within the systems businesses rely on. That prospect brings opportunities for customer service and commerce, alongside new questions about governance, safety and the responsibilities of the people supporting those systems. AI agents changing how we work and serve. "AI agents are changing how technology is built, but how we work, how our businesses serve our customers," Lawson said. She added that agents are "breaking established models" and raising new questions about "platform governance [and] safety." The remarks framed the event around MACH's mission to help organisations keep their technology composable, open and connected. Furthermore, remain in control as they adopt new capabilities. Rather than treat AI as an isolated addition, the speakers suggested that businesses should consider how it interacts with the platforms, data and teams already in place. Tjeerd Brenninkmeijer highlighted organisational shift in a question about how businesses will adapt when agents become participants in digital work. "What's happening between platforms, workflows, and teams when AI agents become users?" he asked. "So not just tools." That distinction shaped the keynote's discussion of agentic commerce. Cottrell noted that attendees were much more familiar with using AI for product discovery and research than for completing purchases. The difference, he argued, reflects a market still at an early stage. Consumers may already use AI to explore brands or compare products. However, very few consumers are ready to let an agent transact for them. Cottrell said these systems are expected to become more action-oriented, making the move from recommendation to transaction an important development for businesses to anticipate. The precise timing remains uncertain, but he said protocols and product readiness are likely to evolve over the coming 12 to 24 months as consumer comfort with AI transactions develops. Building the agentic foundations. A key theme was that readiness depends on more than choosing an AI tool. Cottrell pointed to the role of interoperable systems, modern data infrastructure, and the ability to bring in specialised vendors. Businesses with those foundations, he argued, can integrate new capabilities more readily and adapt as agent-driven experiences change. To support that point, Cottrell cited MACH Alliance research involving 600 industry professionals. Organisations with the strongest composable foundations were six times more likely to achieve a strong return on AI investments than those still in the planning stage, he said. "The investments that you make in the foundations here make a difference." The finding positioned composability as useful not only for preparing for autonomous shopping, but also for wider modernisation. A flexible technology base can help companies introduce and evaluate new services without being locked into a rigid architecture. The goal, as presented in the keynote, is not to predict every application of AI, but to be prepared to connect and manage capabilities as they emerge. Cottrell also outlined resources intended to help businesses make informed choices. The MACH Alliance provides research and guidance on modern enterprise foundations. Its Agent Solution Hub was set to feature verified examples submitted for the Agent Ready Award. More than 45 companies had submitted agentic capabilities, Cottrell said, with many cases expected to be published that month. The alliance's community was another part of the preparation strategy. Cottrell encouraged attendees to learn from practitioners through its ambassador network, regional meetups, virtual events and working groups. Those groups include work on architecture recommendations and hands-on development of multi-agent systems. Enterprise Times: What this means for businesses. The opening keynote therefore presented agentic commerce as a transition already beginning, rather than a distant scenario. AI is influencing how customers discover and evaluate products. Agent-led transactions will inevitably follow as the technology and consumer expectations mature. Lawson's highlighted concerns about governance and people, Brenninkmeijer's focused on agents as users, and Cottrell's emphasis on composable foundations converged on a practical conclusion. Businesses should build systems that can adapt, while ensuring they retain oversight and control. Businesses should prepare for AI agents to become active participants in commerce and enterprise systems. They simply cannot allow it, simply to become tools used by employees or customers. The MACH Alliance suggests this means investing now in open, composable technology and interoperable platforms. In addition to reliable data so new agent capabilities can be integrated without creating vendor lock-in or forcing costly rebuilding. At the same time, organisations need clear governance, security safeguards and human oversight before allowing agents to take actions such as completing purchases. Companies, brands and retailers that strengthen these foundations early will be better placed to test emerging services. Moreover, they will be better-positioned to respond to changing customer behaviour and gain value from AI while retaining control.

QUASA
Aug 29th, 2026
eComID raises $17M - its Shopping Passport needs a brand network.

eComID raises $17M - its Shopping Passport needs a brand network. Stockholm-based eComID disclosed a $17 million seed round in its August 25, 2026 funding release, naming Systemiq Capital as lead investor and Regeneration.VC, Course Corrected, Stadium and returning investor CapitalT as participants. The capital is intended for international expansion, further development of the Shopping Passport, hiring and supporting infrastructure. The product stores shopper-supplied context such as size, fit and style preferences for reuse across participating retailers, subject to the shopper's permission. The investment therefore backs a network rather than simply another recommendation feature: portable context becomes more useful only when enough brands accept it and enough shoppers consent to sharing it. The funding must expand both the product and its coverage. Improving sizing, conversational search and product discovery addresses only one part of eComID's challenge. The company must also place those capabilities across enough retail sites for shoppers to encounter the same passport repeatedly, otherwise its cross-brand proposition collapses into familiar single-store personalisation. The investor mix is relevant to that task because Stadium is also an eComID customer, giving the round a direct retail connection alongside venture backing. Even so, financing cannot create network density by itself. Each additional integration must become an active destination where shoppers see enough value to maintain a profile and permit its use. Tech Funding News's account of eComID's traction figures puts its footprint at more than 60 brands and 20 million shoppers reached each month, while repeating company claims of a 30% lower return rate among shoppers using the platform and a 10% conversion increase for brands. These are company-reported figures; the public material does not provide an independent audit, test design, comparison period or module-level breakdown. How the Shopping Passport moves context between stores. A shopper enters sizing, fit and style preferences into an eComID account. With permission, a participating retailer can use relevant information in pre-purchase tools such as size guidance, conversational search and product discovery, reducing the need to reconstruct the same profile at every store. The product is modular, so a merchant can adopt sizing, search, discovery or a combination of those functions. Vera, eComID's shopping agent, applies available shopper context on participating brands' own sites; the passport does not replace the retailer's storefront, catalogue or product data. Portability is the intended distinction. A retailer-specific personalisation system learns from activity inside one merchant's environment, while the Shopping Passport is designed to let selected context follow a shopper to another connected brand. A stored profile alone cannot guarantee a useful recommendation: the destination retailer must be integrated, its product information must support the request, and the shopper must allow access. More participating brands increase the passport's utility. The model contains a direct network dependency. Every new retailer can give an existing passport another place to work, while a larger population of active passport holders can make integration more attractive to merchants. The reverse is equally important: limited coverage gives shoppers fewer reasons to create, update or share a portable profile. Dealroom's analysis of the network bet identifies True Fit, Bloomreach, Nosto and Shopify's AI storefront tools as competing approaches, while distinguishing their retailer-level context from eComID's cross-brand model. That difference creates an adoption asymmetry: a merchant can obtain value from an in-store personalisation product independently, whereas portability becomes more compelling when shoppers repeatedly encounter connected brands. This is why the title's "needs" is consequential rather than rhetorical. If a profile works at only one retailer, it behaves much like ordinary account-based personalisation. The broader advantage emerges when multiple merchants recognise the passport and shoppers consider continuity valuable enough to authorise sharing. Consent gives shoppers control but limits automatic scale. Consent is central to the product's proposed distinction. Connecting a retailer does not automatically grant it access to a passport holder's full context; the shopper chooses what to share with that brand. Retailer integrations, registered accounts and active cross-brand exchanges are therefore different measures. The network has three necessary contributors. Shoppers provide preferences and permission, retailers provide integrated destinations and product context, and eComID's tools apply the available information to sizing, search and discovery. Weak participation on any side constrains the result: more brands do not help a shopper who declines sharing, while willing shoppers gain little portability if the stores they visit are absent. Consent quality matters as much as the presence of a consent screen. Users need to understand which details will move, which retailer will receive them and what benefit the exchange is expected to provide. The available coverage describes user control but does not publish opt-in, refusal or revocation rates for sharing with a new brand. The round funds a network thesis that remains unproven. The seed financing gives eComID resources to pursue new markets and retail integrations. It does not establish that the Shopping Passport already operates as a dense cross-brand network, nor that aggregate exposure across retail sites translates into repeated use of the same consented profile. Important adoption measures remain undisclosed: the share of reached shoppers who maintain an active passport, how often one profile is used at multiple retailers, and how commercial outcomes differ between individual modules and cross-brand use. Without those figures, monthly reach and retailer count indicate distribution potential rather than network depth. The next evidence will be whether eComID can convert funding into active passports, recurring cross-brand reuse, sustained consent and independently validated retail outcomes. For now, the confirmed story is a $17 million seed round for a portable shopper-context layer whose strongest advantage depends on brands and shoppers participating together.

Bloomreach
Aug 13th, 2026
Bloomreach named to 2026 Inc. 5000 List of America's fastest growing private companies.

Bloomreach named to 2026 Inc. 5000 List of America's fastest growing private companies. MOUNTAIN VIEW, CA, August 13, 2026 - Bloomreach, the AI company for personalization, today announced it has been named to the 2026 Inc. 5000 list, the annual list of the fastest-growing private companies in America. The list is the most prestigious ranking of the nation's most successful independent and entrepreneurial businesses, recognizing companies that have achieved remarkable growth while driving innovation, creating jobs, and shaping the future of the economy. "Earning a place on the Inc. 5000 list for the fifth year validates the remarkable results our customers are achieving and showcases the innovation our team delivers every day," said Raj De Datta, co-founder and CEO, Bloomreach. "We're honored by this achievement and remain focused on advancing AI-powered personalization for the businesses we serve around the world." This year's Inc. 5000 recognizes a new class of companies redefining what growth looks like. From AI and advanced manufacturing to healthcare, consumer products, and professional services, these businesses are expanding their impact, creating jobs and proving that entrepreneurial ambition continues to fuel the U.S. economy. Among the 5,000 companies on the list, the median three-year revenue growth rate was 130%, and those companies have collectively added more than 627,208 jobs to the U.S. economy over the past three years. "Every company on the Inc. 5000 has a story of perseverance, smart decision making, and a refusal to sit still," says Mike Hofman, editor-in-chief of Inc. "Their growth reflects more than strong financial performance-it reflects creativity, resilience, and the customer focus required to build companies that make a lasting impact. We congratulate all honorees on this significant achievement." Inc. 5000 List Methodology Companies on the 2026 Inc. 5000 are ranked according to percentage revenue growth from 2022 to 2025. To qualify, companies must have been founded and generating revenue by March 31, 2022. They must be U.S.-based, privately held, for-profit, and independent - not subsidiaries or divisions of other companies - as of December 31, 2025. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2022 is $100,000; the minimum for 2025 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. For the full Inc. 5000 list, honoree company profiles, and a searchable database by industry and location, please visit: www.inc.com/inc5000 About Bloomreach Bloomreach personalizes the customer experience for brands around the world. Loomi AI, its agentic platform, understands every customer in context - then tailors their experience in real time. Connected to applications at every touchpoint, Loomi AI brings personalization to life across email, web, messaging, mobile apps, search, and more. From retail to financial services, hospitality to gaming, Bloomreach powers end-to-end experiences for 1,400+ global brands, including American Eagle, Sonepar, and Pandora. About Inc. Inc. is the leading media brand and playbook for the entrepreneurs and business leaders shaping its future. Through its journalism, Inc. aims to inform, educate, and elevate the profile of its community: the risk-takers, the innovators, and the ultra-driven go-getters who are creating the future of business. Inc. is published by Mansueto Ventures LLC, along with fellow leading business publication Fast Company. For more information, visit www.inc.com. Media Contact Michelle DeMaio Bloomreach Corporate Communications Ready to see Bloomreach in action? Share with your community.

MarTech Vibe
Aug 7th, 2026
Bloomreach unveils 'ask Me Anything' AI shopping experience.

Bloomreach unveils 'ask Me Anything' AI shopping experience. Through integrations with any third-party customer service agent, shoppers can even ask questions related to orders and returns directly in the search bar. Bloomreach, the AI company for personalisation, has announced the launch of a new "Ask Me Anything" agentic capability for brands and retailers. Powered by Loomi, the company's agentic personalisation platform, the experience transforms the search bar into a single entry point where shoppers can search by keyword, ask conversational shopping questions, and even get help with customer service - all without switching tools or pages. The "Ask Me Anything" capability works by stitching together a number of different functionalities. Loomi conversational agent serves as the orchestration layer, recognising shopper intent and routing each request to the right experience in real time. Keyword searches leverage Loomi's deep capabilities in traditional search and merchandising to give fast, relevant responses. Shopping questions leverage its generative capabilities to provide more thorough expertise and guidance. Through integrations with any third-party customer service agent, shoppers can even ask questions related to orders and returns directly in the search bar. These questions get routed to a brand's existing service agent, easily plugging into existing workflows and service desk setups. For shoppers, everything happens within a single window, offering a seamless experience. "Shoppers don't think in channels or tools - they just have questions and needs," said Anirban Bardalaye, Chief Product Officer, Bloomreach. "What we've built brings that reality to life for ecommerce. One entry point, powered by Loomi, that understands any intent and returns the right experience instantly. That's the power of having your entire experience orchestrated by a single AI context layer." The "Ask Me Anything" experience is available and is already supporting shoppers with reduced friction, faster answers, and a richer experience from the first query to the final click. Sophia Bennett is a news curator at Martechvibe, covering global developments across marketing technology, digital transformation, AI, data, and customer experience trends. View More